Instructions to use GraydientPlatformAPI/etherreal31 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/etherreal31 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("GraydientPlatformAPI/etherreal31", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- 3908b2b567149046d7db28a6a92cf52dbfa536905f975e3b9a8fbffe77824d29
- Size of remote file:
- 1.72 GB
- SHA256:
- aa90822a14a8fa878210cc455f8e808bf3d7dc2c4e41b644e40a1f6158dd3fe5
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